Você precisa entender os dados da sua empresa. Como você pode encontrar as ferramentas certas?

The first thing before creating technology solutions, one has to decide on the Business Goal. The second thing to be decided is the Technology Architecture Principles the organization wants to adopt. Does it want to create an open source-based solution or want to use COTS products?Thirdly what kind of data does the organization want to mine?There are a couple of factors one has to look at while looking at data Volume,Variety,Velocity,Veracity,Value, Variability.It will also depend on the internal capability and maturity of the organization. If the organization is doing it for the first time then they should select a simple tool do some basic things and eventually build more capabilities.A lot will depend on the nature of the Organization.

Definir correctamente la idea de negocio, propósito, vision y misión, valores, para crear una buena estrategia empresarial sera fundamental para fijar los objetivos generales y específicos y por su puesto los indicadores a controlar y gestionar.

It all stars with your Key Business Question (KBQ). This is the observation that you experience, that makes you say Why did it happen? From there you can begin to organize your ideas (hypotheses) and test solutions. For example, in this case your objective is to understand potential causes of a particular outcome. When you have a clear understanding of the causes, goals will be the result of meeting this objective.

Finding the right tools to make sense of business data involves several steps. Firstly, identify specific data analysis needs such as visualization, predictive analytics, or data mining. Next, research tools that align with these requirements, considering factors like scalability, ease of use, and compatibility with existing systems. Reading user reviews and seeking recommendations from industry peers can provide valuable insights. Additionally, trial periods or demos allow hands-on evaluation of tool functionalities before committing. Lastly, consider factors like cost, support options, and integration capabilities to ensure the selected tool meets both current and future analytical needs effectively.

Analyzing business data offers valuable insights that drive informed decision-making. By scrutinizing data sets, businesses can uncover trends, patterns, and correlations, providing a deeper understanding of customer behavior, market dynamics, and operational efficiencies. These insights enable companies to identify areas for improvement, optimize processes, and capitalize on emerging opportunities. Whether it's refining marketing strategies, enhancing product offerings, or streamlining supply chains, data analysis empowers businesses to make evidence-based decisions, mitigating risks and maximizing returns in an increasingly competitive landscape.

Analyzing business data from various sources offers substantial advantages, but effective integration, access, and storage are equally crucial. Integration involves consolidating data from disparate systems into a unified platform, ensuring consistency and accuracy. Access mechanisms, such as user-friendly dashboards or APIs, enable stakeholders to retrieve relevant data easily. Meanwhile, robust storage solutions, like cloud databases or data warehouses, ensure scalability, security, and compliance.

While there are many different data tools available, it's really hard to beat Microsoft Excel with respect to cost, usability, and flexibility. Excel will allow you to create pivots, pull automated reports via SQL, and Macros, as well as execute multiple views of the same data to provide different perspectives. I will often use Excel to create a daily, weekly, and monthly view, and then graph both actual quantities and percentages on the same graph. A good alternative to Excel would be Google Sheets. Google Sheets is similar to Excel, except it is free, and easy to share. However, security, and usability may be of some concern. Apple has their own alternative, however, it has a severely limited ability to share with others.

Integrating data involves combining information from disparate sources like CRM systems, social media platforms, and financial records. Accessing and storing this data efficiently is crucial. Cloud-based platforms like AWS, Google Cloud, or Azure offer scalable storage solutions. Data integration tools such as Apache Kafka, Talend, or Informatica streamline the process. Analytical tools like Tableau, Power BI, or Google Analytics help visualize and analyze integrated data. Adopting a robust data governance framework ensures data accuracy, security, and compliance.

Es importante tener en cuenta el objetivo de los datos ya que algunos de estos solicitan las entidades gubernamentales o en certificaciones por eso yo sugiero que este tipo de información tenga su manual correspondiente de esta forma se logra no pasar por alto los detalles. La herramienta más adecuada es la que creas a tu medida y tamaño de empresa, fijándote precisamente en el objetivo en lo que necesitas hacer para lograr una trascendencia positiva en la empresa. Si tienes los medios Power BI o SAP BI son algunas que puedes utilizar en ellas puedes crear tus propios informes y paneles.

Consideration of end user usability is important, but it should not be a decisive factor. Assessing the capacity for users to swiftly learn, comprehend, and utilize different dashboards and programs is crucial. Nonetheless, employing screen capture tools to illustrate and highlight specific data points is great work around.